Infrastructure
Data-driven systems require a massive amount of data to be processed in order to make intelligent decisions. The focus area “Infrastructure” addresses research the is required in order to make intelligent decisions at scale where needed.
This requires research and developments in the area of Cloud Computing for scalability and elasticity in order to process large volumes of data. It requires localised on-factory edge computing for processing data close to the machine where data is generated to reduce the volume of data that is exchanged with the Cloud. It requires the transfer of data from a large number of internet connected devices (IoT) and the transfer of those information in real-time towards the decision making elements. Therefore, research on networks that can provide support for timeliness and reliability is crucial and 5/6G networks and TimeSensitive Networks are an important aspect.
Technical experts
Edge and Cloud Computing
Javid Taheri, Professor, Karlstad University
IoT and Edge Computing
Karl-Johan Grinnemo, Senior lecturer, Karlstad University
IoT
Mohammad Rajiullah, Research engineer, Karlstad University
Communication Networks and Protocols
Anna Brunström, Professor, Karlstad University
Laser assisted AM, new alloys and structure-properties-performance relation in AM, process and product quality assessment, process monitoring in additive manufacturing and implementation of AI in production chain for zero-waste green manufacturing
Pavel Krakhmalev, Professor, Karlstad University
Communication Networks, Edge/Cloud, IoT and Machine Learning
Andreas Kassler, Professor, Karlstad University